Machine Learning Solutions Engineer

Pivotal Partners; United States; Remote; USD 100,000 - 720,000; Full time

Job summary

Pivotal Partners is seeking an ML solutions engineer to work remotely, focusing on deploying and optimizing machine learning models for clients. The role requires strong technical expertise in Python and experience with ML frameworks like TensorFlow and PyTorch. This position offers a competitive salary up to $300K OTE based on experience.

Qualifications

• Experience in a SaaS organization, ideally in a pre-sales role.
• Proven customer-facing experience.
• Hands-on experience with end-to-end model development.

Responsibilities

• Deliver technical guidance and training to customers.
• Build and deploy machine learning models.
• Support customers throughout the sales process.

Skills

Python

Machine Learning

Technical Support

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Pivotal Partners is partnered with a Series C ($200M+) Accel and Lightspeed Ventures-backed data AI platform, leading the charge in transforming how organisations leverage data through cutting-edge machine learning solutions.

In this role, you’ll work directly with clients from a pre-sales perspective, focusing on deploying and optimising machine learning models on the platform. You will be focused on driving customers by delivering technical expertise, designing bespoke ML solutions, and providing support throughout the customer journey.

Role: ML solutions engineer

Location: Remote, United States

Salary: Up to $300K OTE (depending on experience)

Key Responsibilities:

• Deliver technical guidance and training to customers, ensuring they maximise the platform’s capabilities.
• Build and deploy machine learning models using Python and leading frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Oversee the integration, customisation, and deployment of ML models within client environments.
• Support customers throughout the sales process, offering technical insight and troubleshooting as needed.

Requirements:

• Experience working in a SaaS organisation (ideally an early stage vendor).
• Proven customer-facing experience, ideally in a pre-sales or sales engineering role.
• Strong proficiency in Python and experience building and deploying machine learning models.
• Familiarity with industry-standard ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with end-to-end model development, from data preprocessing to deployment and monitoring.
• Ability to thrive in a dynamic, client-focused environment.
• Remote position open to candidates based anywhere in the US.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Consulting, Information Technology, and Other

• Industries

  Computer and Network Security, Information Services, and Software Development

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